Lead Data Scientist

November 25

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Braviant Holdings

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Fintech • Finance • B2C

Braviant Holdings is a company focused on revolutionizing the lending industry through innovative technology and customer-centric experiences. It aims to provide online credit solutions tailored to the needs of underbanked consumers, ensuring they have better financial access and opportunities. With a focus on leveraging big data and machine learning, Braviant Holdings offers a digital borrowing experience that enhances credit access and reduces friction in loan origination. The company is committed to transforming the way individuals with non-prime credit scores or those unable to cover unexpected expenses can access credit, ultimately contributing to their financial stability and success.

51 - 200 employees

💳 Fintech

💸 Finance

👥 B2C

📋 Description

• Develop, implement and monitor performance of machine learning models across loan life cycle • Design and implement A/B testing frameworks to validate hypothesis, analyze outcomes and drive continuous improvement • Proactively perform data exploration and analysis to identify new opportunities to enhance model performance and business impact • Collaborate with cross functional stakeholders to define and monitor business KPIs and influence product strategy • Partner with Technology teams to build out data science pipelines to support continuous testing, optimization and implementation of new models • Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements

🎯 Requirements

• Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field • 4-6 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space. • Advanced proficiency in Python for programming, data analysis, and predictive modeling • Proficiency in SQL, Excel and experience with data visualization tools • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping • Passion for keeping your skills up to date and exploring new methodologies • The ability to distill complex problems and analysis into a clear and concise narrative

🏖️ Benefits

• Medical benefits paid by employer/employee split of 80/20 • Participation in discretionary bonus plan • Dental and Vision covered at zero cost to you for employee only coverage • PTO, Sick and Floating Holidays • 14 Company Holidays • Participation in the Company Profits Interest Units long term incentive plan • Remote work environment • Monthly Internet stipend • Team and company events/get togethers